Wai Weng Lo

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT

Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan et al. · NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium · 2022 · 311 citations · Full text

Engineering, Machine Learning, Graph Format +17

Anomal-E: A self-supervised network intrusion detection system based on graph neural networks

Evan Caville, Wai Weng Lo, Siamak Layeghy et al. · Knowledge-Based Systems · 2022 · 176 citations

Graph Neural Networks, Anomaly Detection, Graph Theory +9

FlowTransformer: A transformer framework for flow-based network intrusion detection systems

Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo et al. · Expert Systems with Applications · 2023 · 118 citations · Full text

Engineering, Machine Learning, Information Security +19

An Xception Convolutional Neural Network for Malware Classification with Transfer Learning

Wai Weng Lo, Xu Yang, Yapeng Wang · 2019 · 107 citations

Malware Image Classification, Image Classification, Convolutional Neural Network +15

HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection

Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy et al. · Computers & Electrical Engineering · 2022 · 101 citations

Decentralized Machine Learning, Engineering, Data Science +7